Abstract: Any primitive cells or blocks can be represented physically by a Barycenter compact model (or Barycenter model), and any black box model can also be physically represented by a Barycenter compact model physically. A boundary condition between blocks is formulated by the Barycenter compact model. Boundary condition problems between blocks can be limited within two levels only if using the Barycenter compact model.

Abstract: The invention concerns a computer implemented method for underbalanced drilling. In one embodiment, the method includes determining a plurality of gas injection rate versus bottom hole pressure curves for a plurality of liquid injection rates for a specified minimum and maximum gas injection rate and a minimum and maximum liquid injection rate. Next, the method determines a set of four interception curves including a minimum motor equivalent liquid rate interception curve, a minimum vertical liquid velocity intercept curve, a minimum horizontal liquid velocity intercept curve, and a maximum motor equivalent liquid rate intercept curve for a specified minimum and maximum mud motor rate range and a minimum horizontal and vertical annulus velocity.

Abstract: A parameter estimation apparatus of an embodiment of the present invention is provided with a model reduction processor and a parameter estimator. The model reduction processor generates reduced order models by reducing order of a simulation model on the basis of measurement data sets and conditions for model order reduction possibility. The parameter estimator estimates values of parameters of the reduced order models on the basis of the reduced order models and the measurement data sets corresponding to the reduced order models. Further, after estimating a first value for a first parameter of a first reduced order model based on a first measurement data set, the parameter estimator applies the first value to the first parameter of a second reduced order model based on a second measurement data set.

Abstract: In an aspect an apparatus for analyzing machinability of a part for manufacture, wherein the apparatus comprises a processor. The processor is configured to receive a representative part model of a part for manufacture. The processor may also be configured to extract a semantic datum from the print of the part for manufacture. A machinability datum is determined as a function of the semantic datum. A manufacturing quote is generated as a function of the machinability datum.

Abstract: Geologic modeling methods and systems disclosed herein employ an improved simulation gridding technique. For example, an illustrative geologic modeling method may comprise: obtaining a geologic model representing a faulted subsurface region in physical space; mapping the physical space geologic model to a design space model representing an unfaulted subsurface region; gridding the design space model to obtain a design space mesh; partitioning cells in the design space mesh with faults mapped from the physical space geologic model, thereby obtaining a partitioned design space mesh; mapping the partitioned design space mesh to the physical space to obtain a physical space simulation mesh; and outputting the physical space simulation mesh.

Abstract: A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.

Abstract: A system for enhanced sequential power system model calibration is provided. The system is programmed to store a model of a device. The model includes a plurality of parameters. The system is also programmed to receive a plurality of events associated with the device, receive a first set of calibration values for the plurality of parameters, generate a plurality of sets of calibration values for the plurality of parameters, for each of the plurality of sets of calibration values, analyze a first event of the plurality of events using a corresponding set of calibration values to generate a plurality of updated sets of calibration values, analyze the plurality of updated sets of calibration values to determine a current updated set of calibration values, and update the model to include the current updated set of calibration values.

Abstract: A method for aging simulation model establishment includes following operations. Provide a planar p-type metal-oxide-semiconductor field-effect transistor (pMOSFET) having a source and a drain. Measure a first reliability degradation data of the pMOSFET. Select a model for the pMOSFET with modeling parameters related to hot carrier induced punch-through (HEIP). The modeling parameters comprise hot carrier injection (HCI) parameters used to fix a simulated current relation between the source and the drain. Construct the modeling parameters by aging parameters multiplied corresponding flags. Perform a simulation of the pMOSFET with the model to have a second reliability degradation data. Update the aging parameters and re-performing the simulation if the first reliability degradation data and second reliability degradation data are not matched.

Abstract: The present disclosure relates to the field of tools and more particularly to tools used for locating non-visible structural elements. In specific embodiments, the tools are used to locate non-visible structural elements, such as under a roof or behind a wall.

Abstract: Distributed analytics system used to control the operation of at least one monitored system; the system includes an architect subsystem and an edge subsystem, wherein the edge subsystem comprises at least one edge processing device associated with at least one monitored system. The architect subsystem deploys at least one analytic model to an edge processing device based on characteristics of a monitored system associated with the edge processing device, the analytic model to be used by the edge processing device to provide control signals to a monitored system; and, receives information related to the monitored system from the edge processing device, the information utilized by the architect subsystem to modify the analytic model deployed to the at least one edge processing device to improve system performance of the monitored system.

Abstract: Geologic modeling methods and systems disclosed herein employ an improved simulation meshing technique. One or more illustrative geologic modeling methods may comprise: obtaining a geologic model representing a faulted subsurface region in physical space; providing a set of background cells that encompass one or more partial faults within the subsurface region; defining a pseudo-extension from each unterminated edge of said one or more partial faults to a boundary of a corresponding background cell in said set; using the pseudo-extensions and the background cell boundaries to partition the subsurface region into sub-regions; deriving a simulation mesh in each sub-region based on the horizons in each sub-region; and outputting the simulation mesh.

Abstract: In a first step, a defined scope value is selected for each of a plurality of hydrodynamic input parameters. A simulated topographical result is generated using the selected scope values and a forward model. A detailed seismic interpretation is generated to represent specific seismic features or observed topography. A calculated a misfit value representing a distance between the simulated topographical result and a detailed seismic interpretation is minimized. An estimated optimized sand ratio and optimized hydrodynamic input parameters are generated. In a second step, a genetic algorithm is used to determine a proportion of each grain size in the estimated optimized sand ratio. A misfit value is used that is calculated from thickness and porosity data extracted from well data and a simulation result generated by the forward model to generate optimized components of different grain sizes. Optimized hydrodynamic input parameters and optimized components of different grain sizes are generated.

Abstract: A method for safe and efficient use of airport runway capacity includes receiving, at an air traffic control system at an airport, airport data related to movement areas of the airport, time data related to a time period, aircraft data related to a plurality of aircraft expected to operate into and out of the airport during the time period, and environmental data related to environmental conditions predicted for the airport during the time period. The method further includes computing a probability distribution for inter-aircraft spacing by applying the airport data, the time data, the aircraft data, and the environmental data to a trained Bayesian network, producing the probability distribution for the inter-aircraft spacing as an output observation of the trained Bayesian network, and, using the probability distribution and a confidence value, identifying an inter-aircraft spacing value for the plurality of aircraft expected to operate into and out of the airport during the time period.

Abstract: One example includes a method for generating a solar farm design. Geographic map data defines geographic features and boundaries of a geographic region. A solar panel block library that stores virtual solar panel block types is accessed. Each of the virtual solar panel block types corresponds to a design of a respective solar panel block that includes solar panels, an inverter, and an access road, and each virtual solar panel block type includes predetermined dimensions and a predefined output power rating. An array of a virtual solar panel block type to fit within the geographic features and boundaries of the geographic region on the map is generated based on the dimensions of each of the virtual solar panel blocks in the array. The array is iteratively modified to optimize a criterion of the solar farm design, and the design is stored in a memory for subsequent solar farm installation.

Abstract: Techniques and a system to facilitate simulation-based optimization on a quantum computer are provided. In one example, a system includes a quantum processor. The quantum processor performs a quantum amplitude estimation process based on a probabilistic distribution associated with a decision-making problem. Furthermore, the quantum processor includes a simulator that simulates the decision-making problem based on the quantum amplitude estimation process.

Abstract: A method for simulating a control unit. In the method, relationships between inputs and outputs of software component are modeled for at least one software component of the control unit, and a propagation time behavior of the control unit is simulated on the basis of the relationships.

Abstract: A method and a device for commissioning a passenger transport system to be manufactured, such as an escalator, is disclosed. The method comprises the creation of a commissioning digital double dataset of the passenger transport system with target data that depicts characterizing properties of components of the passenger transport system in a target configuration.

Abstract: Systems and methods for determining a time-dependent mud weight window are disclosed. The existence of fractures in formation rock along with a type of the formation rock are used to determine the use of a particular solution to determine the mud weight window at a particular time of a wellbore drilling operation.

Abstract: Techniques for incorporating a black-box function into a neural network are described. For example, an image editing function may be the black-box function and may be wrapped into a layer of the neural network. A set of parameters and a source image are provided to the black-box function, and the output image that represents the source image with the set of parameters applied to the source image is output from the black-box function. To address the issue that the black-box function may not be differentiable, a loss optimization may calculate the gradients of the function using, for example, a finite differences calculation, and the gradients are used to train the neural network to ensure the output image is representative of an expected ground truth image.

Abstract: Methods, systems, and media for generative urban design with spreadsheet and model integration features are provided.